Simultaneous Localization and Mapping (SLAM) uses observations to construct a graph, which often contains both environments (mapping), and robot trajectories (localization). RoCAL focuses on building ...

SAN JOSE, Calif.--(BUSINESS WIRE)--On April 18 th, 2018, NavVis released their M6, a fully-integrated, cart-based system designed for large-scale indoor mapping. The M6 utilizes VLP-16 sensors by ...

A technical paper titled “Simultaneous Localization and Mapping (SLAM) for Synthetic Aperture Radar (SAR) Processing in the Field of Autonomous Driving” was published by researchers at Ulm University.

Tokyo-based Kudan Inc. demonstrated the use of a 3D-lidar simultaneous localization and mapping (SLAM) device to create a sharp point cloud without using an external GNSS receiver or inertial ...

“Simultaneous localization and mapping (SLAM) is a fundamental capability required by most autonomous systems. In this paper, we address the problem of loop closing for SLAM based on 3D laser scans ...

Inertial Labs, Inc. (hereafter “Inertial Labs”), a leader in sensor fusion and 3D Lidar-based remote sensing solutions with its headquarters in Virginia, USA, along with Kudan Inc. (headquarters in ...

ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...

The new T702 from ABB is a tug-style autonomous mobile robot (AMR) that uses Visual SLAM (simultaneous localization and mapping) navigation to create a 360-degree point cloud of data to navigate in ...

The city-scale augmented reality platform MAXST has announced their newest ‘Sensor Fusion SLAM’ solution, which integrates the use of a camera with IMU (Inertial Measurement Unit) sensor. This ...